How can fuzzy matching be used for public health surveillance?

Fuzzy search is a search technique that finds matches even when the search query doesn't perfectly match corresponding data. Oct 28, 2022 ... I'm trying to configure Elasticsearch to give me both exact matches and fuzzy matches and also phrase matches. Sep 27, 2021 ... 1) They Fuzzy Match tool, regardless if you use merge or purge mode, will match every record against each other. For this reason it needs a way ... Sep 29, 2011 ... I am looking for is code, or a query, or both that will enable me to produce a report showing how closely the Customer records in Table 1 match Customer ... The most effective way to build a fuzzy match is to perform the match process on multiple fields within the input file. Each field should be individually ... Sep 10, 2024 ... (2024) “Leveraging Fuzzy Match: Building an Automated Record Linkage Template in SAS Dataflux”, International Journal of Population Data ... fuzzy match. A match / search strategy that uses probabilistic matching, which takes into account spelling variations, possible misspellings, and other ... Mar 27, 2006 ... A definitive version which contains slightly more efficient code, and better matching algorithms, so here it is. Jan 18, 2023 ... Here is an example of how you could identify duplicates and bring them together without having a 'ground truth'. The workflow will try to determine the groups ... Jan 23, 2018 ... I'm trying to fuzzy match between two fields on a row level in a data set of matching pairs that were prepared on a specific detailed criteria.